12073292

Assessing Accuracy of a Machine Learning Model

PublishedAugust 27, 2024
Assigneenot available in USPTO data we have
Technical Abstract

Patent Claims
6 claims

Legal claims defining the scope of protection, as filed with the USPTO.

5

5. The method of claim 1, wherein updating the distribution factor comprises directing future received requests away from the first audience pool.

10

10. The system of claim 6, wherein updating the distribution factor causes the computing processor to direct future received requests away from the first audience pool.

15

15. The method of claim 1, wherein the machine learning model is a deep learning neural network trained on a supervised data set.

16

16. The method of claim 15, wherein the machine learning model is further trained based on feedback information received in response to outputs generated by the machine learning model.

17

17. The system of claim 6, wherein the machine learning model is a deep learning neural network trained on a supervised data set.

18

18. The system of claim 17, wherein the machine learning model is further trained based on feedback information received in response to outputs generated by the machine learning model.

Patent Metadata

Filing Date

Unknown

Publication Date

August 27, 2024

Inventors

Sue Yi Chew
Deepak Ramamurthi Sivaramapuram Chandrasekaran
Bo Fu
Prachi Gupta
Kunal Jain
Thomas Price
Sarvjeet Singh
Jierui Xie

Want to explore more patents?

Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.

Citation & reuse

Analysis on this page is generated by Patentable — an AI-powered patent intelligence platform. AI-generated summaries, explanations, and analysis may be reused with attribution and a visible link back to the canonical URL below. Patent abstracts and claims are USPTO public domain.

Cite as: Patentable. “ASSESSING ACCURACY OF A MACHINE LEARNING MODEL” (12073292). https://patentable.app/patents/12073292

© 2026 Patentable. All rights reserved.

Patentable is a research and drafting-assistant tool, not a law firm, and does not provide legal advice. Documents we generate are drafts for review by a licensed patent attorney.